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Sentiment analysis use cases

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Any industry can benefit from text analytics and sentiment analysis, as all industries collect data and require that it is transformed into actionable, tangible intelligence that can be applied to drive change. Here are some real-world use cases of sentiment analysis across industries and geographies that demonstrate this. – PowerPoint PPT presentation

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Title: Sentiment analysis use cases


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8 Real-World Sentiment Analysis Use Cases
  • www.repustate.com

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One of the most effective ways to measure
marketing and branding campaigns is to analyze
consumer sentiment around them. Sentiment
analysis of your brand gives you tangible data to
review your strengths, weaknesses and business
opportunities. Lets see in-depth, what sentiment
analysis is and what it can do for your business.
As well as, eight real-world examples where
companies have used sentiment analysis as a
business strategy for growth, brand insights and
competitor analysis.
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What Are Real-World Examples of Sentiment
Analysis?
Almost every industry, company or organization
today is going through some form of digital
transformation that results in greater and
greater quantities of both structured and
unstructured data. The biggest challenge that
companies have is turning their unusable,
unstructured data into useful insights that can
help them make data driven decisions, create
operational efficiencies, value improvement, and
overall competitive advantage. Any industry can
benefit from text analytics and sentiment
analysis, as all industries collect data and
require that it is transformed into actionable,
tangible intelligence that can be applied to
drive change. Here are some real-world use cases
of sentiment analysis across industries and
geographies that demonstrate this.
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(No Transcript)
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1. Sentiment Analysis in Banking
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2. Sentiment Analysis in Call Centers
A European mobile network operator wanted to
integrate its call center software so it could
track and analyse all customer service
representative (CSR) interactions. They wanted to
get a sense as to what the tipping point of a
certain number of negative interactions was, that
was causing customer attrition.
Repustates robust sentiment analysis software
analysed each stored call. They were first
converted to text using an intricate speech-text
program and then decoded to look for semantic
meaning in relation to products and services. All
this data was further broken down into a granular
level to check if a customer sustained a negative
overall sentiment below a certain score. If the
software identified this, a text message was sent
to the customer apologizing for the inconvenience
and they were also offered discounts and other
promotional offers.
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3. Sentiment Analysis in Healthcare
A large healthcare consultancy company called
Health-Links, based in Jeddah, reached out to
Repustate because it needed help in its efforts
to improve the overall quality of healthcare in
the Gulf region including villages. The company
locates the invisible dysfunctions and gaps in
care services and maps every phase of the
patients journey at a hospital with thorough,
data-backed information. They wanted a sentiment
analysis solution that could read and analyse
Arabic text accurately without using
translations, and have the scalability and speed
to process 12 million surveys, at the least.
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Why is Sentiment Analysis Important for
Businesses?
Sentiment analysis turns unstructured data into
meaningful information. It is powered by Machine
Learning - a part of AI that runs on algorithms
that propel the software to keep learning and
improving itself automatically through
experience. Unstructured data gathered from
social media listening, chatbots, medical and
call centre transcripts, survey responses, and
the like, can be powerful reservoirs of
intelligence. They can guide focused, strategic
change for overall improvement in a brands value
proposition, brand experience, and value delivery.
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  • The insights gained from sentiment analysis can
    help a company bring accurate change and
    transformation of their business. It can be in
    areas that are either creating the most negative
    sentiment such as product features, price, return
    policies, customer service, or prices, or areas
    that stakeholders are most positive about such as
    net banking, price match, and such. Overall,
    these strategic measures help businesses
  • Become more competitive
  • Attract new customers
  • Retain present customers
  • Sell more products and services
  • Reduce customer servicing
  • Make customers more profitable
  • Improve marketing messages and campaigns

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Thank you!
  • Understand your data, customers, employees with
    12X the speed and accuracy.
  • Visit www.repustate.com to learn more
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